Halden Thermal, Inc.

Contents

This memo follows the arc every institutional committee reads a deal through — from the one-line diagnosis, through the section-by-section analysis, to the transformation it implies and the concrete action it triggers.

• Executive summary & recommendation — the whole deal on one page3
• Deal snapshot & scorecard at a glance — your number, up front4
• How to read this memo · inputs that drove it5–6

• §1 · Target Overview & Thesis7–10
• §2 · Market Sizing & Timing — bottom-up SOM, TAM corrected11–16
• §3 · Product / Solution Evaluation17–22
• §4 · Team Evaluation23–27
• §5 · Valuation & Comparables28–33
• §6 · Cap-Table & Exit-Return Waterfall — the reconciled math34–41
• §7 · Risks & Red Flags42–46
• §8 · Recommendation & Terms47–49

• Before / after · the manager you become with this memo50–52
• The roadmap — from screen to closed, de-risked position53–56
• Your next LP / partner conversation, scripted57–58

• Prioritized action checklist · this week / 30 / 90 days59–60
• Templates, scripts & the advisor / counsel handoff sheet61–62
• What to do with the rest of the kit · guarantee · disclaimer63–64

Executive summary & recommendation

Recommendation: INVEST — with conditions. Screening score 73/100 ("Promising"). Check $1.0M for 5.0% entry, diluting to a modeled 3.28% at exit.

What Halden Thermal is: a solid-state thermal-storage company. Its bricks charge on cheap off-peak grid electricity and discharge 400–600 °C process heat during the day, letting mid-size industrial sites replace gas boilers. It sells the unit plus a heat-as-a-service contract.

The one-sentence thesis: industrial process heat is ~20% of global energy demand with almost no electrified option today; if Halden's brick hits its installed-cost-per-kWh target, it becomes the default retrofit for the mid-size industrial boiler — and this returns our fund if it reaches even a low-single-digit share before a strategic acquires it.

Why "with conditions," not a clean yes: three things must be true, and two are not yet observable. The cost advantage is real but tariff-specific (it may not generalize off the lighthouse grid); the team has never built a repeatable manufacturing line; and two core patents are held personally by the CTO, not yet assigned to the company — a fatal-class red flag until it clears. Our yes is conditioned on those closing.

Educational analysis — not investment, legal, or tax advice. Halden Thermal is fictional; every figure is engine-computed to illustrate method, not to forecast any real outcome.

Deal snapshot & scorecard at a glance

Your number, before any prose. This is the diagnosis an IC wants in the first ten seconds.

Screening scorecard — seed weighting

Five dimensions, weighted for the seed stage (traction can't carry a pre-seed's weight; by seed it starts to). Each bar is rating ÷ 5 × weight; the bars sum to the 73.

You supply every rating; the engine only makes your judgment explicit, weighted, and reproducible.

How to read this memo

So a partner — or an LP — can check every number you present, not just trust it.

An institutional committee doesn't read a memo for prose; it reads to find the one number or claim that isn't defensible, and it stops there. This memo is built to survive that read. Three conventions run through every section:

1 · Every section opens with "why this matters to you now"

Not "here is the market" — but "here is why the market question decides whether you write this check." The reader should never wonder why a section exists.

2 · Every section shows its inputs

A small What you told us → what this computed box appears in each major section, so a reader sees exactly which of your inputs drove which output. Nothing is asserted without its source.

3 · Every number reconciles by hand

Where the engine produces a figure — a score, an ownership %, a MOIC — the memo shows the arithmetic beside it. Example: base-case MOIC = (exit × diluted %) ÷ check = ($250M × 3.28%) ÷ $1.0M = 8.2×. A numerate LP can verify it in their head. This is the discipline that separates an institutional memo from a founder's optimistic recap.

The inputs that drove this memo

In your real report these come from your intake form. Here they are the fictional Halden inputs — labeled — so you can trace every downstream number.

All values fictional and for illustration. Educational analysis — not investment, legal, or tax advice.

1Target Overview & Thesis

State what the company does and the one-sentence reason to write the check — before any detail.

What the company does — in one sentence a stranger understands

Halden Thermal builds solid-state thermal-storage bricks that let industrial sites — food processing, chemicals, paper — replace gas boilers with off-peak electricity: charge the brick with cheap night-time grid power, discharge process heat at 400–600 °C during the day. They sell the unit plus a heat-as-a-service contract.

Round mechanics

Fictional company; illustrative figures. Educational analysis — not investment, legal, or tax advice.

The thesis in one sentence

We invest because industrial process heat is ~20% of global energy demand and has almost no electrified option today, and this returns the fund if Halden's brick hits its installed-cost-per-kWh target and becomes the default retrofit for the mid-size industrial boiler before a strategic acquires it.

Note the shape: a reason to believe, and an explicit condition under which it returns the fund. A thesis without the second half is a hope, not a thesis.

What has to be true

Everything after this page tests exactly three claims. Naming them now lets the reader hold you to them:

1. Cost. The brick's installed cost per kWh of daily heat delivered undercuts gas at a realistic carbon/electricity spread — and not only on the one grid where the pilot runs.
2. Pull. At least one lighthouse industrial customer renews and expands — evidence the value is real to a buyer with a budget, not just to an engineer.
3. Manufacturability. The team can move from a hand-built pilot skid to a repeatable, financeable unit — the step that turns a science project into a company.

The fund-returner test, stated early

For this to matter to a $25M fund, one position needs to be capable of returning a meaningful fraction of the fund. We carry that question — is Halden a plausible fund-returner? — into §6, where the cap-table math answers it with a number: at our modeled 3.28% diluted stake, a $500M+ exit returns roughly the whole fund from this one position (§6 shows the reconciliation).

How Halden makes money

Two revenue lines, deliberately sequenced so the second de-risks the first:

The heat-as-a-service line is the strategically important one: it converts a lumpy capital sale into recurring revenue, aligns Halden with the customer's actual cost savings, and — over many sites — builds the operating dataset that becomes the moat (§3).

Where the ~$1.4M contract value comes from

This figure is an input you supplied, not an engine output — but it feeds two engine outputs downstream, so the memo states its basis plainly:

Because the same input drives both, an inconsistency would show immediately — a discipline cheap templates lack, where market size and valuation are argued from separate, unlinked numbers.

Deal context & who's around the table

How this section sets up the rest of the memo

The thesis makes three promises; the next seven sections keep or break them:

2Market Sizing & Timing

Prove a large, reachable, inflecting market — bottom-up, with a worked correction of the founder's number.

The founder's claim — and why we can't use it

Founder's slide: "$400B process-heat TAM." That is the entire global fuel spend on industrial heat. It is true and useless: Halden cannot sell to a blast furnace at 1,200 °C, and cannot sell to a site with no off-peak electricity tariff. Repeating $400B in your memo would tell an LP you didn't do the work.

Our correction, in one line

We scope to what Halden can actually reach: mid-size industrial sites in the 100–500 °C heat band, in grids with a real day/night price spread, in the target geographies. The next pages build that number from the ground up.

Bottom-up SOM — every input, every source

The honest way to size a market: reachable buyers × realistic contract value × achievable penetration. Show the arithmetic so a reader can push on any single input.

Why $2.0B beats $400B in this memo: it is a number Halden can be held to. It says "we know our buyer, our temperature band, our grid constraint, and our realistic share." An LP reading it concludes the founders — and you — have done the work. A $400B headline says the opposite.

Sensitivity — how fragile is the $2.0B?

A single-point SOM is a target for skeptics. Showing the range pre-empts the objection and demonstrates you understand which input actually moves the number.

The swing input is penetration, not site count. Doubling penetration from 3% to 6% roughly doubles the SOM; tripling the site count without penetration barely moves it, because unreachable sites don't buy. This tells you where to concentrate diligence: on the rate at which Halden can convert reachable sites — i.e. sales-cycle length and reference-ability — not on the addressable-universe headline.

Why now — the specific change that flipped the math

"Why now" separates a real inflection from a founder who's simply arrived. Three things changed in the last ~24 months — and, critically, not before:

1. The off-peak electricity-to-gas spread inverted in several target grids. Where night-time power is now cheap relative to gas, storing heat overnight and discharging by day beats burning gas — the core arbitrage Halden monetizes. Three years ago the spread ran the other way and the unit economics were negative.
2. Industrial decarbonization mandates now carry real penalties. Compliance moved from voluntary to costed; the retrofit is no longer only a savings play but an avoided-penalty play, which shortens the payback.
3. The storage medium hit a cost/performance threshold. The material Halden uses only recently became cheap enough per kWh of storage to make the installed unit competitive.

Market structure

The incumbent (gas boilers + fuel supply) is enormous, consolidated, and not defending this niche — process-heat electrification is beneath the notice of the majors today. That gives Halden a fragmented, under-served beachhead. The wedge (food processing, 100–500 °C) expands into adjacent bands and geographies as the spread inverts in more grids — a beachhead that widens, not a feature.

Who else is in this market

The honest read: Halden's real competition at seed is the status quo gas boiler, not another startup. Winning means beating "do nothing," which is why the cost claim (§3) is the whole ballgame.

Market dimension — how it scores, and why

The scorecard rates Market a 4/5, contributing 20.0 points at seed weighting (25% × 4/5 × 20 = 20.0). Here is the anchor that earns the 4 rather than a 3 or a 5:

Why 4 and not 5: the market is real and well-scoped, but the "why now" leans on a tariff spread that is jurisdiction-specific — a genuine dependency, not a fatal one. Honesty here (4, not a reflexive 5) is what makes the rest of your ratings credible to an LP.

3Product / Solution Evaluation

Establish the product is real, better on an axis buyers pay for, and building a compounding moat.

What exists today vs. what's on the roadmap

Being explicit about this line is itself a credibility signal. A memo that blurs pilot and roadmap invites an LP to assume the worst about both.

Better on what buyers actually pay for: delivered heat cost

Industrial buyers do not pay for "innovation." They pay for a lower, predictable cost per delivered thermal-kWh. That is the only axis that matters — so it's the only one we underwrite.

The "by how much" honesty test

A weak memo says "cheaper." A strong one says "22% cheaper, at this tariff, and here's why it may or may not hold elsewhere." Quantifying the advantage and its boundary is what turns a product claim into an underwritable one.

The moat — what compounds so year 3 is harder to copy than year 1

Two moat candidates, honestly graded:

The technical questions a specialist would ask

You don't need to be a materials scientist to underwrite this — but you need to know which questions to send to one. The kit's discipline: list the specialist questions, mark which are answered, route the rest to diligence.

The distinction — engineering problem (solvable with money and time) vs. physics problem (may not be solvable) — is the one that should change your check.

What the lighthouse customer actually said

A pilot is only evidence if the customer's behavior confirms the value. On the reference call the lighthouse site confirmed:

• Uptime held over 7 months — the unit did what it promised.
• The site is discussing a second unit — a soft expansion signal (not yet a signed order).
• Their decision driver was delivered heat cost, confirming the axis Halden competes on.

Product dimension — how it scores, and why

Product & Moat rates 3/5, contributing 13.2 points at seed weighting (22% × 3/5 × 20 = 13.2). This is the rating that keeps the deal honest.

Why 3 and not 4: the advantage is real but tariff-locked, and the compounding moat (the dataset) barely exists yet with one site. Rating it a 4 would over-credit a single pilot. The 3 is the intellectually honest score — and it's the score that makes your Market 4 and Team 4 believable rather than boosterish.

4Team Evaluation

Answer why THIS team wins THIS specific race — with evidence, not adjectives.

The unfair insight — tied to lived experience

CTO: nine years on high-temperature materials at a national lab. This is not a résumé line — it's the source of the storage-medium formulation and two of the three pending patents. She has spent a decade on exactly the physics this company depends on.

CEO: previously sold industrial heat-recovery systems. She knows the industrial-buyer procurement cycle cold — the 9–18 month sales motion, who signs, what kills a deal. For a company whose #1 risk is sales-cycle conversion (§2), that is the precisely-right founder.

Evidence of execution — what they've shipped with these hands

The named gap

No repeatable-manufacturing leader. This is the single biggest team risk, and it's specific and hireable — which is better than a vague "team might not scale." §8 makes a named manufacturing-ops hire a milestone before Series A.

Alignment — equity, vesting, and the overhang question

The team section is also where cap-table hygiene surfaces — because misaligned founders are a top killer of seed deals in confirmatory diligence.

Reference calls — who you'd call and what you expect

A memo that says "great team" without a reference plan is asking the reader to take your word. Name the calls and your prediction for each — then a partner can check whether reality matched your read.

Writing your expectation before the call is a discipline: it turns references from a formality into a test you can fail.

Team dimension — how it scores, and why

Team rates 4/5, contributing 22.4 points — the largest single contribution at seed (28% × 4/5 × 20 = 22.4).

Why 4 and not 5: two of the three "why this team wins" claims are backed by shipped evidence (pilot + landed deal), but the manufacturing gap and the unresolved IP assignment keep it off a 5. The 4 is generous-but-defensible; a 5 would ignore two real holes.

5Valuation & Comparables

Anchor the price to comparable financings and a defensible method — not to the founder's ask.

The ask, restated neutrally

Method 1 — comparable financings

Three fictional peer thermal / long-duration-storage seed rounds, all with a working pilot at the time of raise:

Where Halden sits: mid-pack. Cheaper than Peer B and C, richer than Peer A. That's reasonable given one operating pilot and a reference-able customer — and would be rich if the cost claim doesn't generalize (Peer C, priced higher, already had two grids validated). The comp set says: fair, with an asterisk that points straight back to §3's tariff-dependency.

Method 2 — a forward construction cross-check

Comps tell you what the market pays; a forward method tells you what the price implies the company must become. If the two meet in the middle, the price is defensible.

The two methods meet at "fair, not cheap." Comps put Halden mid-band; the forward method says today's $20M post is justified only if execution tracks toward ~$6M ARR in four years. Neither method screams bargain. That's an honest read — and far more useful to an LP than "great price."

Entry ownership vs. your fund's floor

Price is only half the terms question; the other half is whether the check buys enough ownership to matter to your fund. This is a portfolio-construction check the engine runs directly.

The check clears the floor. If it hadn't, the memo would either recommend a larger check or flag the deal as ownership-inefficient for the fund — a decision cheap templates never surface because they don't link the check to the fund's construction math. §6 runs the full construction check.

What if the price moves? — negotiation scenarios

A memo should tell you what you'd do at a different price, so you walk into the negotiation knowing your lines.

Your line: at $20M+ pre with only one validated grid, the price detaches from the comp band and the deal's risk/reward tilts wrong — that's a pass-or-renegotiate. At the ask or below, the conditions in §8 (not the price) are the gating items.

Deal Terms & Fit dimension — how it scores

Terms rates 4/5, contributing 8.0 points at seed weighting (10% × 4/5 × 20 = 8.0).

Why 4: price is in-band, the raise funds a real de-risking milestone (second-grid pilot + ops hire, not just runway), and the check clears the ownership floor. It's not a 5 only because the price is full rather than a bargain.

6Cap-Table & Exit-Return Waterfall

Show what YOUR position is worth across exits, after dilution and liquidation preferences — the math cheap templates get wrong.

Three steps: (1) dilute your entry ownership through future rounds; (2) run each exit scenario through the preference stack; (3) compute MOIC and IRR on what actually reaches you. Every figure below is produced by the kit's portfolio engine and reconciled by hand on the page.

Step 1 — dilution: from 5.0% entry to 3.28% at exit

You do not exit at your entry ownership. Every subsequent round and option-pool refresh dilutes you. The engine compounds the dilution: diluted = entry × Π(1 − dᵢ).

Step 2 — the liquidation-preference stack

Preferred shareholders get paid before common at exit. If later rounds raise money at 1× (or worse) preferences, that senior money sits ahead of you and eats the first dollars of any exit. The engine models: proceeds-to-common = max(exit − senior preference, 0).

In our downside modeling we assume a $40M senior preference stack (Series A + B preferred, ~1× non-participating, paid first). Here's what that does to a modest exit:

*At healthy exits preferred typically converts to common to capture upside, so the pref effectively falls away; the memo models the downside with the pref binding and the base/upside with conversion — the conservative, standard treatment.

Step 3 — the reconciled exit-return grid

Our $1.0M check, 3.28% diluted, 7-year hold. Every cell is engine-computed; the reconciliation is on the next page.

The shape of this deal: a real loss in the downside, a genuine multi-bagger in the base, a fund-mover in the upside. That's the honest venture-return distribution — not a smooth line. The job of §8 is to size the position so the downside is survivable and the upside is meaningful.

Reconciliation — so a partner can check it in their head

Every figure in the grid, derived by hand. This is what "defensible" means: not "trust the model" but "here's the arithmetic."

Does this position fit the fund? — construction checks

A great deal in the wrong-sized position is a portfolio mistake. The engine runs your check against your fund's construction: a $25M fund, 22 planned positions, 40% reserves, 5% target ownership.

Engine warnings triggered: none. The check is a healthy 1.47× the average — a conviction position, not a reckless one — hits the ownership target exactly, and stays well within single-position limits.

Fund math — is Halden a fund-returner?

The question the thesis raised on page 8, answered with a number. On a $25M fund, at our 3.28% diluted stake:

Verdict: Halden is a plausible fund-returner. The upside case ($800M) returns the entire fund from this single position; even the base case returns a third of it. That is exactly the return profile a $25M seed fund needs from its conviction positions — provided the downside is sized to survive, which it is at 4.0% of fund.

§6 in one view — the reconciled return picture

The copied number is off by ~52% on the base case and by ~7.5× on the downside (2.5× vs 0.33×). Underwriting on the copied number, you'd size the position as if the downside were a modest gain instead of a total loss — the exact mistake that blows up a first fund.

All figures engine-computed on fictional inputs. MOIC/IRR are modeling outputs on labeled assumptions, not forecasts. Educational analysis — not investment, legal, or tax advice.

7Risks & Red Flags

List the ways this loses money, honestly ranked — the section that earns the memo's credibility.

Ranked by damage × likelihood

The next pages take each of the top risks in order, with: what would have to be true for it to kill the return, what comfort you'd need, and whether that comfort is observable before you wire.

Risk 1 — the cost claim doesn't generalize

Risk 2 — manufacturing

Risk 3 — IP held personally (the fatal-class red flag)

The screening engine treats certain items as fatal-class — they cap the recommendation at "Pass" no matter how high the score, because they quietly kill deals in confirmatory diligence. Halden trips one.

Risk 4 & 5 — the modeled and the commercial

Risk 4 — preference-stack downside. Fully modeled in §6: at a $50M exit the $40M senior preference leaves our 3.28% with $0.33M — a loss. Mitigated by position sizing (4.0% of fund), not by hope. A known, quantified risk beats an unknown one.

Risk 5 — lighthouse churn. If the one reference customer leaves before signing an expansion, the sole proof point evaporates. Lower likelihood (uptime held; expansion discussed) but high signal-value — hence a kill-switch in §8.

The bear case, in the founder's own strongest words

Writing the bear case in the founder's strongest voice — not a strawman — is the discipline that tells an LP you underwrote the deal, not the pitch.

Risk register — the one-page diligence tracker

Every risk, its mitigation, its owner, and whether it gates the close. This is the artifact you hand your co-investors and revisit at each milestone.

Fictional risks for a fictional company. Educational analysis — not investment, legal, or tax advice.

8Recommendation & Terms

State the decision, the check, the conditions, and what would change your mind — unambiguously.

The call — one word, up front

INVEST — with conditions.

Not "lean yes," not "interesting." A decision, followed by the exact terms and the exact things that would flip it.

The recommendation is earned by the preceding seven sections: a 73/100 deal, fair price, plausible fund-returner, with one fatal-class flag that must clear and one core assumption that must be tested. Conditions, not hedges.

The terms, the conditions, the kill-switches

The decision, in one page — what an LP reads in five minutes

Recommendation is the sample author's, reached by the method on fictional inputs. Not a recommendation about any real security. Educational analysis — not investment, legal, or tax advice.

The manager you become with this memo

Everything above analyzed a deal. This part is about what changes for you, the emerging manager, the day you can produce a memo like this on demand.

What "good" looks like — the five tells of an institutional memo

An LP can't always articulate why one memo reads as professional and another as amateur, but they feel it instantly. Here are the five tells this memo hits — and yours will too:

None of these require more intelligence than you already have. They require the structure — which is exactly what the kit hands you, pre-built, with this worked example to pattern-match against.

Why this compounds across your whole fund

A memo isn't a one-off artifact. The discipline compounds three ways:

1. Comparability. Every deal scored on the same rubric means your portfolio decisions line up. When an LP reviews three of your calls, the consistency is itself the credibility.
2. Speed. The second memo takes half the time of the first; the tenth is a fill-in-the-blank exercise. The structure is the reusable part.
3. Defensibility. When a deal goes wrong — and some will — a reconciled memo shows you underwrote it correctly and the world changed. That protects your reputation and your Fund II raise far more than a lucky win does.

The roadmap — from screen to closed, de-risked position

For the Halden deal specifically: the sequence from "promising screen" to "closed position with the flags cleared." Your report generates this timeline from your conditions.

What each milestone does to the return picture

The roadmap isn't busywork — each milestone moves a specific number in §6. Here's how de-risking translates to return confidence:

Every cleared milestone shifts probability mass from the 0.33× downside toward the 8.2× base and 26× upside. That's the mechanism by which disciplined post-investment work — not luck — improves a venture return.

Where Halden sits in the fund

One position is never underwritten alone. Placed in the $25M / 22-position construction, Halden is a mid-conviction, correctly-sized bet:

If Halden is the outlier ($800M exit), it returns the fund by itself (§6). If it's the loss (downside), it costs 4% of the fund — survivable. That asymmetry, deliberately constructed, is what a well-run seed portfolio is made of. The memo shows an LP you understand that you're building a portfolio, not collecting deals.

What changes in your next three conversations

This is the desire the whole report is engineered to create: not "I want a template," but "I want to be the person who can produce this, on demand, for every deal." The next part makes that concrete.

Your next LP conversation, scripted

The exact words for the three moments an emerging manager freezes. Use them verbatim; they're built from the memo you now hold.

The three hardest LP objections — and your answer

Scripts illustrate method on fictional figures. Educational analysis — not investment, legal, or tax advice.

Prioritized action checklist

A report is only worth the actions it sets off. Here's exactly what to do with the Halden deal, and by the same pattern, with yours.

This week

• Share this memo with your co-investors and align on the two conditions + three kill-switches before anyone commits.
• Open the IP-assignment cleanup with counsel — this is the fatal-class gate; nothing else matters until it's moving.
• Book the four reference calls (§4) and write your expected answer for each before you dial.
• Send the technical-advisor handoff (§3, page 20) on cycle-life + scale-up.

Next 30 days

• Get the IP assignment executed — or invoke kill-switch B and walk.
• Agree the second-pilot plan + budget in writing as Condition 2.
• Confirm the check sizing against your live construction (re-run §6 with your actual fund numbers).
• Draft the investment terms from §8; confirm entry ownership clears your floor.

Next 90 days (post-close)

• Introduce two manufacturing-ops candidates (your first post-investment value-add).
• Stand up the second-site pilot on a different tariff — the cost-generalization test.
• Set the 6–12 month thesis-check calendar reminder: ≥15% advantage + ops hire.

Run this on your own deal — the 20-minute version

You don't need to reproduce all 64 pages for every deal. The minimum viable IC memo — the version that beats 90% of what emerging managers send LPs — is four moves:

Bring this to your advisor, counsel & CPA — three handoff sheets

A memo is a coordination document. Tear these three sheets out (or copy them) and send them to the right specialist — each is scoped so they can answer in one reply.

Each handoff turns a thing you can't do into a thing a specialist does in an hour — while you keep the decision. That division of labor is how a solo manager operates like a firm.

What the full kit hands you — so you never start from blank

This sample is one worked memo. The kit ships the reusable machinery behind it:

Your natural next step

The guarantee

Get the kit — $99 intro →

Interim ordering: submit the request form, get payment instructions by email within 1 business day, then the download is delivered on payment (hosted checkout coming). Team / accelerator invoicing & bank wire available.

Disclosures, honesty notes & who built this

How every number here was produced

• Scorecard (73/100): the site's scorecard engine — Team 4·Market 4·Product 3·Traction 3·Terms 4 at seed weighting, fatal-flag capping. Reproducible; identical inputs → identical output.
• Ownership & returns: the portfolio engine — 3.28% diluted, 0.33× / 8.2× / 26.2× MOIC, ~35% / ~59% IRR, $681,818 avg check, $500M/$762M fund-returner exits. All reconciled by hand in §6.
• No fabricated proof: no invented testimonials, review counts, user numbers, or real-world market statistics anywhere in this document.

Who built it

An IR / corporate-development practitioner who wrote real IC investment memos across sectors, ran VC fund-formation work inside a government innovation fund, and took a deep-tech company public end to end through a full exchange listing process, having raised $50M+ across venture rounds, where peer-group valuation and diligence checklists were the day job. The methodology structure is re-derived from public institutional-memo norms (a16z / YC / NVCA-style frameworks and standard disclosure discipline) — no course material, no ex-employer documents, no third-party deal data.

— End of sample memo —

Get the kit — write memos like this for your deals